Thank you for visiting nature.com. You are using a browser version with
limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off
compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site
without styles and JavaScript.

Subjects

Abstract

During the reawaking of a volcano, magmas migrating through the shallow crust have to pass through hydrothermal fluids and rocks. The resulting magma–hydrothermal interactions are still poorly understood, which impairs the ability to interpret volcano monitoring signals and perform hazard assessments. Here we use the results of physical and volatile saturation models to demonstrate that magmatic volatiles released by decompressing magmas at a critical degassing pressure (CDP) can drive volcanic unrest towards a critical state. We show that, at the CDP, the abrupt and voluminous release of H2O-rich magmatic gases can heat hydrothermal fluids and rocks, triggering an accelerating deformation that can ultimately culminate in rock failure and eruption. We propose that magma could be approaching the CDP at Campi Flegrei, a volcano in the metropolitan area of Naples, one of the most densely inhabited areas in the world, and where accelerating deformation and heating are currently being observed.

Introduction

Volcanic eruptions1,2 are the surface manifestations of the final stages of crustal emplacement of mantle-sourced magmas. Understanding the transition of a volcano from quiescence to eruption is relatively straightforward at the frequently active mafic volcanoes, where the rates of magma ascent and the separation of magmatic volatiles drive pressurization of the magmatic systems and finally eruption3,4,5,6,7. In contrast, interpreting volcanic unrest is difficult at silicic volcanoes, since they commonly develop pervasive hydrothermal systems during their long repose periods8,9. The complex magma–hydrothermal interactions that result as magma finally makes its way to the surface during the reawaking of a volcano will modulate the physical and chemical signals recorded at the surface10,11,12,13,14, and determine whether the magma will ultimately erupt15.

Such magma–hydrothermal interactions are particularly complex and unpredictable at active calderas, where the hydrothermal circulation is particularly intense at the subsurface due to major structural control16,17. This is especially true for Campi Flegrei caldera (CFc), a long-lived resurgent caldera in the metropolitan area of Naples that was formed by the 39-ka Campanian Ignimbrite supereruption, which was the largest in Europe during the past 200 ka (ref. 18). Since the 1950s, CFc has been showing clear signs of potential reawaking, as indicated by frequent episodes of ground uplift (with a total of >3 m of permanent cumulative inflation at the caldera centre19), shallow seismicity20, and a visible increase in hydrothermal degassing14. After a period of major unrest in 1983–1984 characterized by thousands of earthquakes and a rapid uplift (∼1.8 m over 2 years19), CFc subsided until 2005, when a new inflation started, resulting in a minor (∼0.4 m over 10 years) but temporally accelerating uplift. The involvement of magma as a causal factor of the current CFc unrest is strongly supported by the composition of volcanic gas21 and deformation changes22. However, it is not clear whether this unrest will culminate in an eruption and, if it does, over what timescale this will occur. The presence of more than half a million people living in the proximity of the caldera makes this situation particularly challenging for local authorities and other decision-makers, and highlights the urgency of obtaining a better understanding of interactions between the magma driving the unrest and its overlying hydrothermal system.

While it is universally accepted that the injection of new magma is a common mechanism that drives hydrothermal systems towards the critical state23,24, the mechanisms and timescales of magma–hydrothermal interactions during unrest remain poorly understood and difficult to forecast16. One key aspect that has received little attention is the role that magmatic gases may play in heating the hydrothermal system, and ultimately in driving the unrest.

The present study linked magma degassing at depth with the resulting perturbation in the overlying hydrothermal system. Here we initially use the results of volatile saturation25 models to demonstrate that decompressing magmas can reach a critical condition, which we refer as a critical degassing pressure (CDP), at which their ability to release water and convectively transport heat is increased by a least an order of magnitude. We then use physical models26 to show that magmatic volatiles released at the CDP, when injected into an overlying hydrothermal system, lead to extensive heating and expansion, and cause temporally accelerating ground deformation. Finally, we examine ground deformation time series from CFc and some other restless calderas, which identifies consistent accelerating ground uplift trends that are reminiscent of those predicted by our model. We conclude that magmas at the CDP can be recurrent causal factors in driving volcanic unrest towards a critical state; that is, a state near a bifurcation at which the evolution of the system can either culminate in an eruption or change trend and cool down27.

Results

The critical degassing pressure during magma decompression

The decompression of fresh magma results in the selective release of dissolved volatiles depending on their solubilities28. This means that while barely soluble CO2 dominates deep degassing3,29,30, more-soluble H2O prevails at shallower depths31. Given this selective release of volatiles from magma and the different capacities of these two species to carry thermal energy, the pattern of heat transfer to overlying rocks and hydrothermal systems will be complex and will vary as the unrest progresses.

Several saturation models have been reported in the literature25,28,32,33,34,35,36 that can be used to investigate magma degassing in an H2O–CO2 system. Whereas most of them predict the H2O and CO2 solubilities over narrow ranges of silicate melt composition, one of the models25 can be extended to any silicate melt composition. Here we use that model to predict H2O–CO2 partitioning during magma decompression; however, the use of alternative models would lead to similar results and conclusions.

Model calculations were initialized at conditions relevant to CFc, where the marked variations in the compositions of fumarole emissions37 observed over the last 30 years have been attributed14,21 to decompression-driven open-system degassing of trachybasalt magma. A good match21 between model-calculated solubilities25 and experimentally derived solubilities for CFc or CFc-like magmas has also been demonstrated.

Figure 1a shows the total quantities of H2O and CO2 released at equilibrium conditions by 1 kg of magma during open-system depressurization. We assumed isothermal conditions (temperature=1,425 K) and that the CO2–H2O mixture is initially saturated at 200 MPa. This pressure corresponds to a depth of ∼8 km, where a large magma reservoir below CFc has been detected by seismic tomography38.

Figure 1: Open-system magma-degassing models for CFc.

The different curves refer to different initial H2O and CO2 contents and describe the evolution of the fluids released during magma depressurization in an open-system Rayleigh-type degassing process (where at each infinitesimal decompression step, an infinitesimal parcel of gas phase in excess of the permissible saturation is distilled from the well-mixed magma). Theoretical degassing curves were calculated for the most-primitive magma compositions of CFc (trachybasalt) and show the pressure dependence of (a) the moles of H2O and CO2 released by one kilogram of magma for each 1-MPa decrease in pressure; (b) the energy associated with fluid release (enthalpy of the separated H2O–CO2 mixture at the specific temperature and pressure, computed using MUFITS63); (c) the residual gas in the melt, as a percentage of the original content; and (d) the CO2/H2O ratio of the released fluids. The blue circle and orange line indicate the conditions used in the corresponding TOUGH2 (ref. 26) simulations.

A range of total volatile contents was explored, but all of the simulations converged to indicate different degassing behaviours of CO2 and H2O. Figure 1a shows that, during deep (pressure >150 MPa) degassing stages, less than 0.001 moles per kilogram of magma of CO2-dominated magmatic gas are separated for each 1-MPa decrease in pressure. H2O degassing becomes effective only at lower pressures (Fig. 1a,c), and when this happens there is a narrow pressure interval over which the total amount of separated fluid increases steeply (by more than one order of magnitude). This stage is marked by abrupt variations (Fig. 1a) and it leads to the complete exhaustion of CO2 in the magma, leaving only H2O available for subsequent low-pressure degassing (Fig. 1c). A particularly important feature at this stage is that each model curve shows an inflection point (Fig. 1a) at a specific pressure, which we refer to as the CDP. In each of the model curves of Figs 1 and 2, we set the CDP as the pressure value at which the second derivative of separated gas content with respect to pressure reaches its maximum. This condition marks an abrupt increase in the amount of thermal energy released through fluid expulsion, from <50 J to >1,000 J per kilogram of magma and for each 1-MPa decrease in pressure (Fig. 1b).

Figure 2: Results of magma degassing models.

The different curves refer to different initial H2O and CO2 contents, reported as couple of values on each and describe the evolution of the fluids released during magma depressurization in various conditions. (a) Theoretical degassing curves were calculated for rhyolitic magma compositions and show the pressure dependence of the moles of H2O and CO2 released during open-system degassing by one kilogram of magma for each 1-MPa pressure decrease. (b) Theoretical degassing curves were calculated for the most-primitive magma compositions of CFc and refer to open and closed degassing (trachybasalt).

We found similar nonlinear degassing behaviour over a range of magma compositions and volatile contents. For any magma type (for example, rhyolitic magma; Fig. 2a), complete CO2 exhaustion in the melt marks a critical condition at which the amount of separated fluids and the energy transfer to the hosting rocks both increase dramatically. It is important to stress that most of the H2O (∼95% of the original content) is still dissolved in the magma at the CDP (Fig. 1c) and is therefore available for further subterraneous gas–magma separation, heating, and (eventually) sustaining an eruption39.

Our calculations were performed under open-system conditions since the long-lasting variations in the fumarole-gas composition at CFc cannot be reproduced in a closed system, instead requiring efficient separation of gas from the magma21. The large amount of magmatic fluids released by CFc manifestations40 also supports an ongoing open (rather than closed) magma-degassing behaviour. Our open-system Rayleigh-type degassing model assumes that volatiles are continuously separated from magma at each decompression step. However, the release of magmatic fluid from CFc surface manifestations actually shows a pulsed (noncontinuous) behaviour (Supplementary Figs 1 and 2), which suggests a mechanism in which periods of closed-system decompression alternate with episodes of system opening and gas release (that is, a multistep degassing process) over timescales of years.

Tests show that such multistep degassing can be adequately reproduced as an open-system degassing process provided that there are numerous and recurrent system-opening events, as is likely to be the case.

Open-system, unsteady degassing is not only observed at CFc41,42. During extrusive volcanic eruptions, pulsed degassing behaviour can occur even at shorter timescales, and is thought to derive from multiphase flow dynamics within the conduit43. At CFc, we argue that such degassing behaviour can ultimately result from the complex geometry of crustal volcano plumbing systems, whose intricate networks of fractures, dikes, sills and small reservoirs44,45,46,47 facilitate the segregation of gas from melt, and the loss of volatiles from a foam layer48. Foam growth in low-viscosity mafic melts takes place over timescales of months to a few years48,49, which is faster than the observed decennial trends in gas composition. While we therefore favour an open-system scenario, we also show examples of model degassing simulations in closed-system conditions (Fig. 2b) to demonstrate that a CDP can be reached even in that type of system, despite the mass of released volatiles varying less markedly than in open-system conditions. We conclude that the concept of the CDP applies over a wide range of magmatic conditions. We also find that CDP conditions are reached independently on the solubility model used, for example, VolatileCalc36 (Supplementary Fig. 3).

The thermal regime of hydrothermal systems can be strongly impacted if the underlying magma approaches the CDP. Within the typical temperature and pressure hydrothermal range, CO2 behaves as an incondensable species, while H2O can condense and therefore heat the rocks very efficiently. Our models of fluid flow in porous media26 that describe the injection of fluids enriched in either CO2 or H2O into a virtual hydrothermal system confirm the different heating capacities of the two volatiles. The ability of ascending magmas to heat any overlying hydrothermal system will therefore be greatly enhanced as the CDP is approached. We use below the CFc example to further illustrate this aspect.

The case of Campi Flegrei caldera

Of the several quiescent calderas worldwide, CFc has recently shown among the clearest signs of unrest. At CFc, several ktons of hydrothermal fluids are emitted daily by the Solfatara-Pisciarelli fumarolic field40 (Fig. 3a,b). Stable isotopes of fumarolic steam concur to indicate that such fluids are, at least partially, sourced by magma degassing50.

Figure 3: The hydrothermal system of CFc and its signals.

(a) Locations of CFc and the main hydrothermal sites: Solfatara and Pisciarelli. (b) Conceptual model of the hydrothermal system feeding the two manifestations: a 4-km-deep zone of magmatic gas accumulation that supplies fluids to a shallower part where they vaporize liquid of meteoric origin to form a 2-km-deep vertical plume of gas14. Previous geochemical investigations based on the stable isotopes of water revealed the presence of typical magmatic waters in the Solfatara fumarole vents50. (c) Temporal evolution of the N2/He ratio at the Solfatara fumaroles. (d) Time series of the CO content in the Solfatara fumaroles. The increasing trend indicates heating of the system, and matches the TOUGH2 (ref. 26) model-derived temperatures (magenta line) exceptionally well.

The large variations in the fumarole emissions of N2–He–CO2–Ar (ref. 21), including the 25-year-long decreasing trend of the N2/He fumarole ratio (Fig. 3c), fully support the idea that a primitive magma degassing in open-system conditions at increasingly lower pressures is sustaining the unrest. A particularly important observation is that the ground deflation and N2/He gas ratios followed exponential-like trends from 1985 to 2005, with very similar characteristic times, implying common source processes14. The presence of magma depressurization is also supported by modelling of the ground uplift in 2012–2013, which has been interpreted as the effect of a magma intrusion at a depth of 3 km (ref. 22). At the same time, a generalized heating up of the CFc hydrothermal system is indicated by the 15-year-long exponential increase in CO emissions from the fumaroles (Fig. 3d); note that CO is the fumarole gas most sensitive to temperature changes51.

Based on these observations, we argue that the CFc magmatic system may be approaching the CDP; that is, that depressurizing magma may release fluids progressively richer in H2O so as to affect the thermal structure of the hydrothermal system. We tested this hypothesis by using TOUGH2 (ref. 26; see Methods) to model the injection of magmatic fluids (IMF) into a hydrothermal system under physical conditions appropriate for CFc13 (Fig. 4).

Figure 4: Computational domain of the TOUGH2 simulations.

The rock physical properties were homogeneous (porosity=0.2; thermal capacity=1,000 J kg−1 °C−1; density=2,000 kg m−3; horizontal permeability=10−14 m2; vertical permeability=1.5 × 10−14 m2; and thermal conductivity=2.8 W m−1 °C−1). The temperature and the volumetric gas fraction Xg (different shades of gray) refer to steady-state conditions. The ‘checkpoint for gas composition’ is the zone where the simulated CO2/H2O is compared with the measured one (see Methods). The ‘Temperature box’ (yellow rectangle above the injection zone) is the region where the average temperature is calculated during the simulations (see Figs 5 and 6 and Supplementary Fig. 1c).

Our new model simulations refine previous ones13 that first identified the magmatic gas trigger of the unrest. The model involves injecting H2O–CO2 magmatic gas mixtures into a virtual hydrothermal system at subcritical temperature and pressure conditions. The composition (CO2/H2O ratio) of the injected magmatic gas phase is based on the results of our magma-degassing models (see Methods and Fig. 1d). We highlight that these modelled magmatic CO2/H2O ratios can only approximate the composition of fluids entering the real hydrothermal system, since the model does not account for secondary processes potentially occurring along the magma-to-hydrothermal gas cooling path.

We simulated 14 IMF events occurring between 1983 and 2014, whose timing and intensity were constrained based on measured geochemical anomalies only (see Methods and Supplementary Fig. 1a,b). Ground deformation pulses and clustered earthquakes support the timing of the IMF events, which were independently fixed based on geochemical anomalies (Supplementary Fig. 2). Previous simulations13 considered injections of hot fluids with a constant CO2/H2O ratio. Here we update these previous calculations to the current CFc state (Simulation 1), but also consider a new scenario (Simulation 2) in which magmatic fluids that are increasingly rich in H2O are injected. The first scenario corresponds to degassing of a stationary source at 200 MPa and with original H2O and CO2 contents of 3.89 wt% and 0.079 wt%, respectively (blue circle in Fig. 1a,d). The second scenario describes the depressurization of the same source down to 130 MPa (orange line in Fig. 1a,d). The CO2/H2O ratio used in each IMF event was inferred from the measured N2/He ratios and the results obtained in simulations of open-system magma-degassing models (Supplementary Figs 4 and 5).

We found that each modelled IMF episode involves the injection of 0.1–25 Mt of magmatic fluids, which is within the range of the gas mass associated with small to moderate-size volcanic eruptions13. The modelled cumulative trends of injected magmatic fluid masses exhibit clear exponential acceleration since the 2000s (Supplementary Fig. 1d). The acceleration trend is steeper in Simulation 2 (in which the gas compositions varied during the simulation) than in Simulation 1. Simulation 2 also predicts an average temperature increase of 60 °C in the deep-central part of the hydrothermal system (Figs 3d, 5 and 6). One interesting outcome of Simulation 2 is that, while the CO2/H2O ratio of the injected magmatic fluids decreases over time, the simulated gas composition at the ‘checkpoint for gas composition’ (Fig. 4) becomes increasingly rich in CO2 (Supplementary Fig. 1b). This apparent paradox results from H2O condensation in the hydrothermal system, which is the same process heating the rocks. Condensation of a mixed magmatic-meteoric vapor, followed by H2O–CO2 oxygen isotope exchange in the fumaroles’ feeding conduits50, also well account for the observed hydrogen and oxygen isotope composition of fumarolic steam (Supplementary Fig. 6).

Figure 5: Observations and modelled data for the current period of unrest of CFc.

(a) Average temperature obtained by the model (in Simulation 2) for the central deeper zone of the computational domain. (b) Temperatures computed using the CO-CO2 geothermometer at Solfatara fumaroles14 compared with modelled temperatures (gray line). The modelled temperatures, which refer to the central deeper zone of the computational domain (‘Temperature box’ in Fig. 4), have the same temporal evolution but are systematically higher than the CO–CO2 temperatures, which reflect the thermal state of the upper part of the hydrothermal system14. (c) Vertical displacements measured at the RITE CGPS station (black line) and modelled volume increases in the computational domain due to thermal expansion (magenta line). We used a coefficient of volumetric thermal expansion of 3 × 10−5 °C−1.

Figure 6: Discharge temperature at the Pisciarelli fumarole compared with the modelled temperature.

The temperature at the Pisciarelli fumarole (gray dots) increased from the boiling temperature (95 °C) in 2005–2006 to 115–120 °C in 2015. During the same time interval, temperature increased of only 3–4 °C at the highest temperature fumarole BG, implying clustering of hydrothermal influx on the eastern outer slope of Solfatara crater, where Pisciarelli is sited (Fig. 3). At Pisciarelli, localized low-magnitude seismic swarms20, a weak phreatic activity (mud emission, opening of boiling pools and new vents), and a strong increase in the fumarole flow rate accompanied the temperature increase. The variation occurs concurrently with the increasing temperature of the CFc hydrothermal system modelled in Simulation 2 (magenta line; that is, average temperature inside the yellow box in Fig. 4).

Our model predicts that the injection of increasingly H2O-rich volatiles released by magma approaching the CDP leads to significant heating of the hydrothermal system (Fig. 5a) with obvious implications for volume expansion of the rocks (Fig. 5c).

Independent observations support these model predictions of the thermal evolution of the CFc hydrothermal system. The modelled pattern of temperature increase (Fig. 5a) mimics the observed increasing trends in CO content of the fumaroles (Fig. 3d) and temperature estimations obtained from the CO–CO2 geothermometer14 (Fig. 5b). Concurrently with the heating onset predicted by the models, the Pisciarelli fumaroles located on the eastern slope of Solfatara visibly increased their flow rates and temperatures in 2005–2006, with recurrent episodes of mud emissions, the formation of new vents, and localized seismic activity14 (Fig. 6). Furthermore, comparison of the locations of earthquakes in 1983–1984 and 2005–2014 highlights the recent disappearance of shallow seismicity in the Solfatara area, suggesting a transition from an elastic-like to a plastic-like behaviour, which is probably due to heating of the rocks52.

Discussion

We demonstrated, for the first time, a discontinuity in the degassing pathway of decompressing magmas. Attainment of this critical condition is purely controlled by the differential solubility of magmatic volatiles. Magmas approaching the CDP abruptly increase their H2O release efficiency, and as such enhance their ability to convey heat to the overlying hydrothermal system. Steam-heated host rocks surrounding magma may, in turn, alter their physical properties, lowering their mechanical resistance. Steam injection, which is a technique used in the oil industry for extracting heavy oil53, demonstrates that heating can affect ground deformation to a much larger extent than that expected from pure thermal expansion. Steam injection and the associated latent heat release deform the media also via thermally induced shear dilation54 and enhancing fluid-flow permeability. We conclude, therefore, that the CDP concept may contribute to explain acceleration in signals observed during volcanoes unrests.

We propose the CDP can help interpreting the current evolution of the CFc unrest. Escalation in hydrothermal activity, and increasing concentrations of fumarolic species more sensitive to temperature, point to an ongoing heating process of CFc. Our thermo-fluid-dynamic models here suggest that injection of magma-derived H2O, becoming more voluminous and frequent in time, may well be controlling such heating. We caution that, since our model does not account for rheological properties and heterogeneities of the system, it cannot be used to predict mechanical evolution, for example, caldera deformation. We yet note a similarity between the temporal evolution of caldera uplift and our modelled hydrothermal temperature increase (Fig. 5c). We conclude, therefore, that magmas approaching the CDP may be contributing to accelerating caldera inflation, observed since 2005. At CFc, thermal effects can strongly be enhanced by specific physical characteristics of the rock matrix (Neapolitan Yellow Tuff), which is particularly sensitive to thermal alterations due to the presence of thermally unstable zeolites55 (for example, the tensile strength of these rocks can halve when the temperature increases from 100 to 300 °C (ref. 56)).

CFc is unlikely to be an isolated case. A similar, several-year-long period of accelerating inflation possibly driven by magma depressurization and heating processes was observed before eruptions at Rabaul, Papua New Guinea16 and Sierra Negra, Galapagos57. Like at CFc, the accelerating deformations at these systems can be empirically described by both power-law and exponential growth curves (Fig. 7). Power-law acceleration of the strain rate, earthquakes and other precursors have been widely reported before material-failure phenomena, including volcanic eruptions58,59,60. The characteristic failure time, tf, for the power-law relationship is ∼3,900 days for Rabaul and ∼1,240 days for Sierra Negra (where the volcanoes erupted 3,100 and 950 days after the beginning of the anomaly, respectively). For CFc, similar calculations yield a failure time of 5,670±735 days from the beginning of the anomaly (that is, 2005). Characteristic times, t*, of the exponential curve of 240, 850 and 1,600 days are obtained for Sierra Negra, Rabaul and CFc, respectively. The failure time cannot be defined in the exponential model59, but the Rabaul and Sierra Negra examples show that eruptions occurred at 3–4 t* (Fig. 7).

The curves indicate the vertical ground displacement observed at the different volcanoes (Sierra Negra magenta, Rabaul blue, CFc cyan, Yellowstone gray; see Methods). The patterns can be fitted with either exponential (a) or power-law (b) growth curves. (a) The dimensionless time (τe) and vertical displacement (ζe) are given by τe=t/t* and ζe=z/z*, respectively, where t* and z* are the characteristic time and vertical displacement, respectively, of the exponential curve: z(t)=z* [exp(t/t*)−1]. (b) The dimensionless time (τp) and vertical displacement (ζp) are given by τp=t/tf and , respectively, where tfC, and n the adjustable parameters of the power-law curve: . The initial time for each case refers to the first evidence of uplift. Different curve parameters are reported in the figure legends; the values of C (104 × cm × daysn) are 43.0, 33.8, 12.0, 67.2 for Sierra Negra, Rabaul, CFc, and Yellowstone, respectively.

However, the temporal evolution of volcanic unrests often exhibits complex, nonlinear behaviour, such as in the case of the Yellowstone caldera, where an initial exponential/power-law acceleration of ground uplift during 2004–2008 was followed by a deceleration61 (Fig. 7). A pausing of ground uplift occurred at CFc between 1982–1984 and 2005. Caution is therefore prudent when forecasting the future mid- to short-term evolution of any period of unrest. Even if the magma underneath CFc is likely to be approaching the CDP, the possible future scenarios can be complicated by additional processes that have not been considered here. For example, increases in the melt liquidus due to H2O release and consequent magma crystallization could increase the melt viscosity, and therefore act against further magma migration. Additional careful scrutiny of monitoring data in the coming months and years is key to interpreting whether hydrothermal heating or magma quenching will prevail.

Methods

Data set

Data on the compositions of fumarole emissions as well as the analytical methods used in this study and their uncertainties are available in the literature14. The used data set was updated to December 2015 (Supplementary Data 1).

Fifteen continuous-monitoring GPS stations (CGPS) operate at CFc. A full description of the GPS network and the complete data set of the displacement time series is available elsewhere62. Here we used the vertical displacement time series of the RITE CGPS station, which is located in the Pozzuoli area (Fig. 3a) where the uplift has been greatest over the past 15 years. Data on the numbers and magnitudes of earthquakes were obtained from the literature14,20 and from INGV Osservatorio Vesuviano. The vertical displacements at Rabaul, Sierra Negra, and Yellowstone were also taken from the literature16,57,61.

Physical modelling of magmatic gas injection into the hydrothermal system

Our physical model aims at assessing the thermal effects caused by the IMF into the CFc hydrothermal system. Among the numerous possible scenarios, we select two reference cases.

In the first case (Simulation 1) we considered an input magmatic fluid of fixed (that is, time invariant) composition, with a CO2/H2O molar ratio of 0.67. This composition corresponds to that of a gas in equilibrium at 200 MPa with a trachybasalt magma (H2O=3.39 wt%, CO2=0.079 wt%; blue circle in Fig. 1). This CO2-rich composition (CO2 molar fraction=0.4) was inferred based on volcanic gas evidence50 and has been used in previous CFc simulations13.

In the second scenario (Simulation 2) we injected the virtual hydrothermal system with a magmatic gas that has a composition that becomes richer in H2O over time (Supplementary Table 1). This evolving gas composition is based on the output of open-system magma-degassing models of CFc magmas. A comparison of measured fumarole emissions and the model degassing trends21 provides support for open-system magma degassing being an ongoing process at CFc. The results of model simulations21 (Supplementary Fig. 4a) demonstrate that gas observations (in the N2–He–CO2 gas system) can only be quantitatively reproduced if open-system decompression is assumed to be present. We consider the case of a trachybasalt magma decompressing from 200 to 130 MPa, initially coexisting with a gas phase having N2/He=900 and N2/CO2=0.0047 (Supplementary Fig. 4a). We reconstruct the temporal evolution of the CO2/H2O ratio of the magmatic gas feeding the CFc hydrothermal system (Supplementary Fig. 5b) from that of the N2/He ratio measured in CFc fumaroles (Supplementary Fig. 5a). Fumarole N2/He ratios are converted into CO2/H2O ratios in the source magmatic gas using the model relationship in Supplementary Fig. 4a. The obtained time dependence of the CO2/H2O ratio (see red line in Supplementary Fig. 5b) was sampled at specific time intervals to infer the magmatic gas CO2/H2O ratio composition of each IMF event (Supplementary Table 1). The degassing decompression trend (that is, from 200 to 130 MPa) of this model is schematically illustrated by the orange lines in Fig. 1a,d.

The energy transported by volatiles while they are degassed from magma (Fig. 1b) was calculated from the enthalpy of the separated H2O–CO2 mixture at the magma temperature and pressure. The method63,64 we used can simulate properties of a binary CO2–H2O mixture up to supercritical conditions. However, we injected magmatic fluids into the virtual hydrothermal system at 350 °C in both Simulations 1 and 2. This is because the geothermal simulator that we used (TOUGH2 (ref. 26)) can only work below the critical-point temperature of water. Enthalpies of the magmatic gas phase at 350 °C were calculated using the EOS2 module26. This yielded that the enthalpies of the injected magmatic gases were far lower than those of magma-released supercritical fluids (Fig. 1b). This difference accounts for the energy lost by fluids as they pass thorough the plastic zone, between the magma and the overlying hydrothermal system.

TOUGH2 is a numerical simulator for geothermal systems that is fully described elsewhere26. Briefly, TOUGH2 includes the coupled transport of a multiphase (gas/liquid) fluid and heat through a porous medium. The TOUGH2 version used here takes into account the contemporaneous presence of two fluid components (H2O and CO2) at subcritical temperature conditions26. More-recent geothermal simulators65 can also work at supercritical temperature conditions, but we used TOUGH2 to allow comparisons with previous work at CFc13,66,67. The model includes heat flow occurring by both conduction and convection, with the latter including both sensible and latent heat effects26. The model does not account for either the presence of other gas components, solute transport, and chemical reactions, or for deformation or fracturing of the porous rock.

The physical model calculations included defining the computational domain, achieving steady-state conditions before simulating IMF events, selecting the number and timing of IMF events, and calculating the mass of fluids injected in each IMF event. These steps are described in detail below.

The computational domain consists of 850 cells distributed in a two-dimensional radial space of 2,000 m × 2,500 m (Fig. 4). This domain is similar to (but 500 m deeper than) that used in previous simulations66,67,68,69 of the CFc hydrothermal system13. The top boundary is at fixed (atmospheric) temperature and pressure conditions, while other boundaries are impermeable and adiabatic. As in previous work13, the rock physical properties are homogeneous. The fluid source is located at the base of the domain (Fig. 4).

The second step consisted in achieving steady-state conditions. Initially the domain contains liquid water with a low PCO2 (CO2 partial pressure) and a temperature that varies with depth according to the thermal gradient measured in CFc geothermal wells67. This condition is perturbed with a 2000-year-long injection of a 350 °C gas mixture at 39 kg s−1, with a CO2/H2O molar ratio of 0.17. The flux and composition reflect measurements performed at Solfatara50,67. The system reaches a steady-state condition after 2000 years of injection, which represents time 0 of Simulations 1 and 2. Ideally this initial condition represents the state of the system before 30 October 1983, which is the date on which magmatic gas was first injected into the base of the system (Supplementary Fig. 1). Under steady-state conditions, the model predicts the formation of a gas zone (Xg=1) at 200–220 °C at the top of the domain, which is aligned with the injection zone and just below the Solfatara fumarole field (‘checkpoint for gas composition’ in Fig. 4).

In the third step, we simulated 14 IMF events. Their timing (Supplementary Table 1) was inferred based on compositional anomalies that have been determined for Solfatara fumaroles. The first three events occurred during the major bradyseismic crisis in 1983–1984, and two minor uplift episodes occurred in 1989 and 1994 (ref. 66). Peaks in the CO2/H2O ratio at Solfatara fumaroles (Supplementary Fig. 1b) marked each event. Successive peaks (from 2000 to 2015) in CH4-based geoindicators (that is, the fumarole ratios of CO2/CH4 and He/CH4 (refs 14, 70)) are taken as evidence for the occurrence of 11 IMF episodes (Supplementary Figs 1a and 2b). These events typically caused both pulsed inflations of the terrain13,14 (Supplementary Fig. 2c) and localized seismic activity (Supplementary Figs 1f and 2d,e).

Finally, the temporal evolution of the fumarole emissions of H2O–CO2 (Supplementary Fig. 1b) can be used to confine the total amount of fluid injected in each of the 14 IMF events (Supplementary Table 1) using a trial-and-error method. The total mass of each IMF is adjusted until the modelled compositions in the ‘checkpoint for gas composition’ fit the observed fumarole CO2/H2O ratio reasonably well (Supplementary Fig. 1b). As explained above, the CO2/H2O molar ratio of the injected fluids was assumed to be constant (=0.67) in Simulation 1, while it decreased from 0.67 to 0.22 in Simulation 2, as in an open-system magma-degassing process (Supplementary Fig. 5b; Supplementary Table 1).

The simulation outputs relevant to this study are the simulated values of the total pressure, temperature, Xg (volumetric gas fraction), PCO2, and XCO2 (CO2 mass fraction) in each of the 850 cells. A key model output is the temporal evolution of the system temperature during the injection of the magmatic fluids (Fig. 5a). This corresponds to the volume-weighted average temperature of the cells in a cylinder with a diameter of 0.95 km and a height of 1 km (that is, volume of 0.707 km3) sited above the injection zone (‘temperature box’ in Fig. 4).

Aiuppa, A.et al.First observations of the fumarolic gas output from a restless caldera: Implications for the current period of unrest (2005-2013) at Campi Flegrei. Geochem. Geophys. Geosyst.14, 4153–4169 (2013).

Acknowledgements

This work received funding from the INGV-DPC Research Agreement 2012–2015, the EU-FP7 Project MED-SUV (grant agreement 308665), the ERC Project ‘Bridge’ (grant agreement 305377), the INGV project COHESO, and DECADE (an initiative from the Deep Carbon Observatory). Comments from V.C. Smith improved the quality of the manuscript. We thank the Seismology Laboratory of INGV Osservatorio Vesuviano for providing the list of CFc earthquakes. We wish to thank Y. Taran, L. Karlstrom and an anonymous reviewer for the helpful suggestions which improved the quality and the clarity of the manuscript.

Search for Valerio Acocella in:

Search for Jean Vandemeulebrouck in:

Contributions

G.C. conceived the initial idea of the study, with all of the coauthors defining the methodology and strategy. G.C., S.C. and P.D.M. acquired geochemical and geodetic data. G.C. ran the simulations, with contributions from A.P. and A.C. G.C., A.P., A.A., A.C., J.V. and V.A. wrote the manuscript with input from all of the coauthors.

Supplementary information

PDF files

Excel files

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/